About
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Report
KNBS and ICF. 2022. Kenya Demographic and Health Survey 2022. Key Indicators Report. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF.
About
The App uses data from the Key Indicators Report of the 2022 Kenya Demographic and Health Survey (2022 KDHS). The survey was implemented by the Kenya National Bureau of Statistics (KNBS) in collaboration with the Kenya’s Ministry of Health (MoH) and other stakeholders.
It provides easy-to-use interface to explore 2022 KDHS data using tools such as choropleth maps, bar plots, trend plots. This is a living app that is continuously developed to include comparisons of the current results with those from Demographic and Health Surveys.
The analytics and visualizations are created by the Center for Epidemiological Modelling and Analysis (CEMA) at the University of Nairobi, Kenya.
Sample survey
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Summary of the households selected, occupied, and interviewed for the 2022 Kenya Demographic and Health Survey
The numbers are presented by:
- Type of questionnaire (full or short questionnaires)
- Residence: Rural and urban
- Participants: Men and women
Household characteristics
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Housing
Health insurance improves access to quality health care by reducing the costs associated with illness, treatment and care incurred by persons and/or families. The graphics show the percentage of de jure household members with insurance and the type of insurance.
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Cooking
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Household possessions
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Birth registration
Birth registration of children <5 years
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School attendance
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Road Traffic Accidents
Deaths and injuries from road traffic accidents
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COVID-19 diagnosis and vaccination
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Health Insurance Coverage
Health insurance improves access to quality health care by reducing the costs associated with illness, treatment and care incurred by persons and/or families. The graphics show the percentage of de jure household members with insurance and the type of insurance.
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Respondent characteristics
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Background characteristics
For each characteristic, we show the weighted percentage distributions of the women and men that participated in the survey. Choose the characteristic to display.
Occupation
Type of employment
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Reason for migration
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Water, Sanitation and Hygiene
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Person collecting drinking water
Treatment of household drinking water
Management of household excreta
Disposal of children’s stool
Handwashing
Marriage
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Disability among the household population
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Disability: choose a characteristic to display by:
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Fertility
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Total fertility rate
- Urban areas: 2.8
- Rural areas: 3.9
General fertility rate per 1,000 women
- Urban areas: 105
- Rural areas: 134
Crude birth rate per 1,000 women
- Urban areas: 30.1
- Rural areas: 26.6
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Background characteristics
Total fertility rate
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Median age at first birth
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Teenage pregnancy
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Fertility preferences
Percent distribution of married women desire for children, by the number of children they already have - and whether they would want the child soon or later
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By number of living children
Ideal number of children
Mean ideal number of children
Fertility planning status
Wanted fertility rates
Family planning
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Knowledge of contraceptive methods
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Knowledge of fertile period
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Reasons for discontinuation
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Need and demand for family planning
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Decision making about family planning
Future use of contraception
Exposure to family planning messages
Childhood mortality
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Early childhood mortality rates
Ten-year early childhood mortality
Perinatal mortality
Mother’s health
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Antenatal care
Number of antenatal care visits and timing of first visit
Components of antenatal care
Place of delivery
Caesarean section
Assistance during delivery
Men’s involvement in maternal health care
Maternal care
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Maternal care
Mother’s background characteristics
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Spatial visualization
Maternal care data in descending order
Vaccinations
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Fully vaccinated according to the national schedule
Characteristics of the fully vaccinated
Child health
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Health conditions
Treatment conditions
Treatment conditions: descending
Source of treatment
Early Childhood Development Index 2030
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Nutrition
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Nutritional measure
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Nutritional status (county-map)
Nutritional status (county-descending)
Micronutrient supplementation & deworming
Women minimum dietary diversity
Malaria
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Household possession of mosquito nets
Source of mosquito nets
Access to an insecticide-treated net (ITN)
Use of mosquito nets by households
Use of existing ITNs
Use of mosquito nets:children
Use of mosquito nets:pregnant women
Mosquito net not used previous night
Reason why the mosquito net was not used the night before the survey
Intermittent Preventive Treatment by women during pregnancy
Children with fever & careseeking prompt treatment & diagnosis
Source of advice/treatment for children with fever
TB/HIV
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Knowledge & beliefs on HIV
Knowledge on HIV prevention
HIV testing
Chronic conditions
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Blood pressure diagnosis and treatment
Blood sugar diagnosis and treatment
Depression diagnosis and treatment
Arthritis diagnosis and treatment
Physical activity
Examinations for breast & cervical cancer
Women empowerment
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Employment & cash earnings
Control over men’s cash
House & land ownership
Agricultural land ownership
Non-agricultural land ownership
Ownership & use of mobile phones & bank accounts
Participation in decision making
Attitude towards negotiating safer sexual relations
Domestic/ Gender violence
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Experience physical violence
Person commiting physical violence
Experience violence during pregnancy
Experience sexual violence
Persons committing sexual violence
Forms of controlling behaviors and intimate-partner violence
Violence by any spouse or intimate partner
Violence by women against their spouse or intimate partner
Help seeking to stop violence
Sources for help to stop the violence
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Female genital mutilation
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Knowledge of female circumcision
Prevalence of female circumcision
Age at circumcision
Aspects of circumcision among women and girls
Choose the characteristics of circumcision below to be able to visualizeCircumcision by age
Effects of female circumcision
Help seeking behavior among circumcised women
Compare trends over time
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Percentage change of trends per county
Trends over time
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Compare indicators by county
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Comparison by indicators
** Kindly hover on the graphic to see the name of the county**